Understanding Data Generation in Source Systems: How It Works and Real-Time ApplicationsData generation is crucial in data engineering lifecycle for reliable processing and transformation.
Spark Scala Exercise 24: Error Handling and Logging in SparkBuild Safe, Auditable ETL PipelinesBuild a defensive Spark ETL pipeline to ensure robust data processing.Handle data issues like schema mismatches and corrupt records effectively.Implement custom logging and audit trails for better failure management.
Understanding Data Generation in Source Systems: How It Works and Real-Time ApplicationsData generation is crucial in data engineering lifecycle for reliable processing and transformation.
Spark Scala Exercise 24: Error Handling and Logging in SparkBuild Safe, Auditable ETL PipelinesBuild a defensive Spark ETL pipeline to ensure robust data processing.Handle data issues like schema mismatches and corrupt records effectively.Implement custom logging and audit trails for better failure management.
Spark Scala Exercise 8: Working with Date-Time in SparkExtract, Transform, and AnalyzeDate and time operations are vital for analysis in various sectors, enabling insights into trends and customer behavior.
Talk about Cloud Prices at PyConLT 2025Cloud pricing involves almost 5 million SKUs across major providers, necessitating a robust data pipeline for accurate estimates.
Handling Missing Data in Distributed Systems: A Scala and GCP Dataproc ApproachGCP Dataproc enables efficient data pipeline creation with Scala for handling missing data in datasets.
Build a simple data pipeline on OVHcloud with ScalaBuild a simple data pipeline using Spark on OVHcloud by setting up necessary services and organizing data in Object Storage.
Handling Missing Data in Distributed Systems: A Scala and GCP Dataproc ApproachGCP Dataproc enables efficient data pipeline creation with Scala for handling missing data in datasets.
Build a simple data pipeline on OVHcloud with ScalaBuild a simple data pipeline using Spark on OVHcloud by setting up necessary services and organizing data in Object Storage.
Behind Every Question-Answer AI Is a Data Pipeline Built for Scale - Here's How to Build Your Own | HackerNoonA data pipeline using Google Cloud services and LangChain efficiently indexes document embeddings into Redis, supporting RAG-based question-answering systems.
ELT Pipelines May Be More Useful Than You Think | HackerNoonThe order of operations distinguishes ETL from ELT, affecting data processing strategies.
Snowflake snaps up data management company Datavolo | TechCrunchSnowflake acquires Datavolo to enhance data pipeline management and processing for customers, aiming for simplicity and cost savings.
Event Time Processing with Flink and Beam - Power of Real time Analytics | HackerNoonApache Flink enables robust real-time data processing through effectively addressing the elements of what, where, when, and how in the pipeline.
Data pipeline observabilityData observability is critical for accurate invoicing in consumption-based pricing models.
Canva Opts for Amazon KDS over SNS+SQS to Save 85% with 25 Billion Events per DayCanva chose Amazon KDS over other solutions for its Product Analytics Platform due to lower costs and high performance requirements.